A NOVEL FRAMEWORK FOR ENHANCING DATA COLLECTION MACRO- STRATEGIES IN HETEROGENEOUS IOT NETWORKS USING ADVANCED MATHEMATICAL MODELING
The explosive growth of Internet of Things (IoT) devices has generated considerable data in diverse networks. This poses serious challenges in collecting timely information and managing frequency resources optimally. In particular, unauthorized access, measurement constraints, and variable channel conditions cause interference, performance degradat...
By Abdolrashid Rezvani, Abbas Mirzaei, Nasser Mikaeilvand, Babak Nouri-moghaddam, Sajjad Jahanbakhsh Gudakahriz
GA-PSO-MIN: A HYBRID HEURISTIC ALGORITHM FOR MULTI-OBJECTIVE JOB SCHEDULING IN CLOUD COMPUTING
Due to the variable resource availability and diverse user needs, efficient task scheduling in cloud computing has become increasingly important. This study introduces GA-PSO-Min, a novel approach that synergistically combines genetic algorithms (GA), particle swarm optimization (PSO), and Min-Min strategy to improve scheduling efficiency in cloud ...
By Vahid Mokhtari, Nasser Mikaeilvand, Abbas Mirzaei, Babak Nouri-moghaddam, Sajjad Jahanbakhsh Gudakahriz